| Literature DB >> 36119318 |
Shruti Singh1, Nirav Nimavat2, Chandramani Singh3, Alok Ranjan3, Mala Mahto4, Sunil Kumar Singh1, Amarjeet Kumar5, Swetalina Pradhan6.
Abstract
Background: The COVID-19 pandemic has become a global threat, with an inexplicable course of action and suboptimal response to the multitudes of therapies being tried. Vitamin D's pleiotropic effects (immunomodulatory, anti-inflammatory, and antiviral) have lately received considerable attention in the scientific community, and it has been shown to be helpful in the defense against viral respiratory infections. Aim: To find out the association between vitamin D and COVID-19.Entities:
Keywords: COVID-19; Case-control study; prevention; treatment; vitamin D
Year: 2022 PMID: 36119318 PMCID: PMC9480771 DOI: 10.4103/jfmpc.jfmpc_1561_21
Source DB: PubMed Journal: J Family Med Prim Care ISSN: 2249-4863
Figure 1Flowchart for the selection of cases and controls
Characteristics of the case and controls
| Characteristics | Total ( | Cases ( | Controls ( |
|
|---|---|---|---|---|
| Age (Category) (years) | ||||
| ≤40 | 268 (74.4) | 89 (57.1) | 179 (87.7) | |
| 41-60 | 69 (19.2) | 45 (28.8) | 24 (11.8) | |
| >60 | 23 (6.4) | 22 (14.1) | 1 (0.5) | |
| Sex | ||||
| Male | 263 (73.1) | 118 (75.6) | 145 (71.1) | 0.33 |
| Female | 97 (26.9) | 38 (24.4) | 59 (28.9) | |
| BMI, Mean (SD) (kg/m2) | 23.55 (4.53) | 24.44 (4.79) | 22.87 (4.20) | |
| BMI (Category) (kg/m2) | ||||
| Underweight (<18.5) | 30 (8.3) | 12 (7.7) | 18 (8.8) | <0.05 |
| Normal (18.5-24.9) | 216 (60.0) | 78 (50.0) | 138 (67.6) | |
| Overweight (25.0-29.9) | 83 (23.1) | 47 (30.1) | 36 (17.6) | |
| Obese (≥30) | 31 (8.6) | 19 (12.2) | 12 (5.9) | |
| Alcohol intake | ||||
| Yes | 53 (14.7) | 37 (23.7) | 16 (7.8) | <0.05 |
| No | 307 (85.3) | 119 (76.3) | 188 (92.2) | |
| Smoking | ||||
| Yes | 53 (14.7) | 39 (25.0) | 14 (6.9) | <0.05 |
| No | 307 (85.3) | 117 (75.0) | 190 (93.1) | |
| Comorbidities | ||||
| Diabetes mellitus | 17 (4.7) | 17 (10.9) | 0 (0.0) | <0.05 |
| Hypertension | 16 (4.4) | 16 (10.3) | 0 (0.0) | <0.05 |
| Chronic kidney disease | 4 (1.1) | 4 (2.6) | 0 (0.0) | <0.05 |
| Hypothyroidism | 6 (1.7) | 6 (3.8) | 0 (0.0) | <0.05 |
| Coronary artery diseases | 4 (1.1) | 4 (2.6) | 0 (0.0) | <0.05 |
| COPD or Asthma | 1 (0.3) | 1 (0.6) | 0 (0.0) | 0.43 |
| Serum Vit-D, Mean (SD) (ng/ml) | 19.83 (9.94) | 20.04 (11.68) | 19.66 (8.40) | 0.71 |
| Vitamin D deficiency (<10 ng/ml) | ||||
| Yes | 37 (10.3) | 25 (16.0) | 12 (5.9) | <0.05 |
| No | 323 (89.7) | 131 (84.0) | 192 (94.1) |
Figure 2Box plot for the serum vitamin D level of the cases and controls
Bivariate and multiple logistic regression between vitamin D deficiency and risk of COVID-19
| Characteristics | COR | AORa | AORb | AORc |
|---|---|---|---|---|
| Vitamin D deficiency (<10 ng/mL) (Yes vs. No) | 3.05 (1.48-6.29)* | 2.85 (1.31-6.17)* | 2.61 (1.18-5.72)* | 2.51 (1.10-5.71)* |
| Nagelkerke R2 | 0.03 | 0.21 | 0.23 | 0.27 |
*P<0.05; aAdjusted for age; bAdjusted for age and BMI; cAdjusted for age, BMI, alcohol taking and smoking. AOR: Adjusted OR